Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Parameters</td><td align="center">Ranges</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Population size</td><td align="center"><span style="width: 23.4625px;"><svg height="10.8125" id="M104" style="vertical-align:-0.10033pt" version="1.1" viewbox="0 0 23.4625 10.8125" width="23.4625" xmlns="http://www.w3.org/2000/svg">
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<g transform="translate(72,-63.35)">
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<tspan style="font-size: 12.50px; " x="0" y="0">𝑛</tspan>
<tspan style="font-size: 12.50px; " x="4.1384931" y="0">-</tspan>
<tspan style="font-size: 12.50px; " x="6.2139912" y="0">2</tspan>
<tspan style="font-size: 12.50px; " x="12.465491" y="0">𝑛</tspan>
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</svg></span></td></tr><tr><td align="left">Crossover probability</td><td align="center">0.8–1</td></tr><tr><td align="left">Mutation probability</td><td align="center">0.025–0.075</td></tr><tr><td align="left">Local improvement probability</td><td align="center">0.05–0.15</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems 